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Correction

Correction
Corrigendum to Maximum Likelihood Estimation of the Multivariate Normal Mixture Model
Published online: 31 Jul 2024
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Free Access

Correction

Correction
Corrigendum to Maximum Likelihood Estimation of the Multivariate Normal Mixture Model
Published online: 31 Jul 2024
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Free Access

Applications and Case Studies

Case Report
Sparse Independent Component Analysis with an Application to Cortical Surface fMRI Data in Autism
Zihang Wang, Irina Gaynanova, Aleksandr Aravkin & Benjamin B. Risk
Published online: 29 Jul 2024
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Open Access

Applications and Case Studies

Case Report
Sparse Independent Component Analysis with an Application to Cortical Surface fMRI Data in Autism
Zihang Wang, Irina Gaynanova, Aleksandr Aravkin & Benjamin B. Risk
Published online: 29 Jul 2024
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Open Access

Applications and Case Studies

Case Report
Statistical Inference of Cell-type Proportions Estimated from Bulk Expression Data
Biao Cai, Emma Jingfei Zhang, Hongyu Li, Chang Su & Hongyu Zhao
Accepted author version posted online: 23 Jul 2024
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Theory and Methods

Method
Matrix Completion When Missing Is Not at Random and Its Applications in Causal Panel Data Models*
Jungjun Choi & Ming Yuan
Accepted author version posted online: 17 Jul 2024
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Theory and Methods

Method
Controlling the False Split Rate in Tree-Based Aggregation
Simeng Shao, Jacob Bien & Adel Javanmard
Accepted author version posted online: 09 Jul 2024
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Book Review

Book Review
Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests
Reza Mohammadi
Accepted author version posted online: 08 Jul 2024
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Free Access

Applications and Case Studies

Case Report
Efficient Stochastic Generators with Spherical Harmonic Transformation for High-Resolution Global Climate Simulations from CESM2-LENS2
Yan Song, Zubair Khalid & Marc G. Genton
Published online: 08 Jul 2024
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Open Access

Applications and Case Studies

Case Report
Generalizing the Intention-to-Treat Effect of an Active Control from Historical Placebo-Controlled Trials: A Case Study of the Efficacy of Daily Oral TDF/FTC in the HPTN 084 Study
Qijia He, Fei Gao, Oliver Dukes, Sinead Delany-Moretlwe & Bo Zhang
Published online: 08 Jul 2024
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Theory and Methods

Method
False Discovery Rate Control For Structured Multiple Testing: Asymmetric Rules And Conformal Q-values
Zinan Zhao & Wenguang Sun
Published online: 08 Jul 2024
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Open Access

Theory and Methods

Method
Node-Level Community Detection within Edge Exchangeable Models for Interaction Processes
Yuhua Zhang & Walter Dempsey
Published online: 08 Jul 2024
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Theory and Methods

Method
Robust Matrix Completion with Heavy-tailed Noise
Bingyan Wang & Jianqing Fan
Accepted author version posted online: 03 Jul 2024
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Theory and Methods

Method
Distributed Heterogeneity Learning for Generalized Partially Linear Models with Spatially Varying Coefficients
Shan Yu, Guannan Wang & Li Wang
Published online: 28 Jun 2024
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Theory and Methods

Method
Mediation Analysis with the Mediator and Outcome Missing Not at Random
Shuozhi Zuo, Debashis Ghosh, Peng Ding & Fan Yang
Published online: 26 Jun 2024
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Applications and Case Studies

Case Report
Joint Tensor Modeling of Single Cell 3D Genome and Epigenetic Data with Muscle
Kwangmoon Park & Sündüz Keleş
Published online: 26 Jun 2024
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Theory and Methods

Method
Population-Level Balance in Signed Networks
Weijing Tang & Ji Zhu
Published online: 26 Jun 2024
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Theory and Methods

Method
Statistical Inference for Hüsler–Reiss Graphical Models Through Matrix Completions
Manuel Hentschel, Sebastian Engelke & Johan Segers
Accepted author version posted online: 26 Jun 2024
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Open Access

Theory and Methods

Method
Contextual Dynamic Pricing with Strategic Buyers
Pangpang Liu, Zhuoran Yang, Zhaoran Wang & Will Wei Sun
Accepted author version posted online: 26 Jun 2024
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Theory and Methods

Method
Synthetic likelihood in misspecified models
David T. Frazier, David J. Nott & Christopher Drovandi
Accepted author version posted online: 24 Jun 2024
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Open Access

Theory and Methods

Method
Neural Networks for Geospatial Data
Wentao Zhan & Abhirup Datta
Published online: 24 Jun 2024
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Theory and Methods

Method
Supervised Dynamic PCA: Linear Dynamic Forecasting with Many Predictors
Zhaoxing Gao & Ruey S. Tsay
Accepted author version posted online: 24 Jun 2024
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Theory and Methods

Method
Doubly Robust Augmented Model Accuracy Transfer Inference with High Dimensional Features
Doudou Zhou, Molei Liu, Mengyan Li & Tianxi Cai
Published online: 24 Jun 2024
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Theory and Methods

Method
Rational Kriging
V. Roshan Joseph
Published online: 21 Jun 2024
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Open Access

Theory and Methods

Method
Enhanced Response Envelope via Envelope Regularization
Oh-Ran Kwon & Hui Zou
Accepted author version posted online: 18 Jun 2024
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Theory and Methods

Method
Generalized Data Thinning Using Sufficient Statistics
Ameer Dharamshi, Anna Neufeld, Keshav Motwani, Lucy L. Gao, Daniela Witten & Jacob Bien
Published online: 13 Jun 2024
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Theory and Methods

Method
Tyranny-of-the-minority Regression Adjustment in Randomized Experiments
Xin Lu & Hanzhong Liu
Accepted author version posted online: 12 Jun 2024
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Theory and Methods

Method
Distribution-Free Prediction Intervals Under Covariate Shift, With an Application to Causal Inference
Jing Qin, Yukun Liu, Moming Li & Chiung-Yu Huang
Published online: 12 Jun 2024
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Theory and Methods

Method
Controlled Discovery and Localization of Signals via Bayesian Linear Programming
Asher Spector & Lucas Janson
Published online: 11 Jun 2024
  • 239 Views
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Theory and Methods

Method
Reinforcement Learning in Latent Heterogeneous Environments
Elynn Y. Chen, Rui Song & Michael I. Jordan
Published online: 11 Jun 2024
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Theory and Methods

Method
Test and Measure for Partial Mean Dependence Based on Machine Learning Methods
Leheng Cai, Xu Guo & Wei Zhong
Accepted author version posted online: 11 Jun 2024
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Theory and Methods

Method
Nonparametric Multiple-Output Center-Outward Quantile Regression
Eustasio del Barrio, Alberto González Sanz & Marc Hallin
Accepted author version posted online: 11 Jun 2024
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Theory and Methods

Method
Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning
Ye Shen, Hengrui Cai & Rui Song
Published online: 31 May 2024
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Theory and Methods

Method
Randomness of Shapes and Statistical Inference on Shapes via the Smooth Euler Characteristic Transform
Kun Meng, Jinyu Wang, Lorin Crawford & Ani Eloyan
Published online: 31 May 2024
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Open Access

Theory and Methods

Method
Graph-Aligned Random Partition Model (GARP)
Giovanni Rebaudo & Peter Müller
Published online: 30 May 2024
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Theory and Methods

Method
Tests for Large-Dimensional Shape Matrices via Tyler’s M Estimators
Runze Li, Weiming Li & Qinwen Wang
Published online: 24 May 2024
  • 976 Views
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Open Access

Theory and Methods

Method
Modeling and Learning on High-Dimensional Matrix-Variate Sequences
Xu Zhang, Catherine C. Liu, Jianhua Guo, K. C. Yuen & A. H. Welsh
Published online: 24 May 2024
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Applications and Case Studies

Case Report
Dissecting Gene Expression Heterogeneity: Generalized Pearson Correlation Squares and the K-Lines Clustering Algorithm
Jingyi Jessica Li, Heather J. Zhou, Peter J. Bickel & Xin Tong
Published online: 24 May 2024
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Open Access

Theory and Methods

Method
Testing the Number of Common Factors by Bootstrapped Sample Covariance Matrix in High-Dimensional Factor Models
Long Yu, Peng Zhao & Wang Zhou
Published online: 20 May 2024
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Theory and Methods

Method
Selection and Aggregation of Conformal Prediction Sets
Yachong Yang & Arun Kumar Kuchibhotla
Published online: 20 May 2024
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Book Review

Book Review
Statistical Methods in Health Disparity Research
J. Sunil Rao, Boca Raton, FL: Chapman & Hall/CRC Press, 2023, xviii + 279 pp., $120.00(H), ISBN 978-0-367-63512-1.
Susan M. Paddock
Published online: 20 May 2024
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Free Access

Book Review

Book Review
Introduction to Environmental Data Science
Jerry D. Davis, Boca Raton, FL: Chapman & Hall/CRC Press, 2023, xx + 382 pp., [dollar]100.00(H), ISBN 978-1-032-32218-6.
Timothée Poisot
Published online: 20 May 2024
  • 237 Views
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Free Access

Theory and Methods

Method
Sharp-SSL: Selective High-Dimensional Axis-Aligned Random Projections for Semi-Supervised Learning
Tengyao Wang, Edgar Dobriban, Milana Gataric & Richard J. Samworth
Published online: 20 May 2024
  • 594 Views
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Open Access

Theory and Methods

Method
Efficient Nonparametric Estimation of Stochastic Policy Effects with Clustered Interference
Chanhwa Lee, Donglin Zeng & Michael G. Hudgens
Published online: 20 May 2024
  • 347 Views
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Theory and Methods

Method
Inferring Independent Sets of Gaussian Variables after Thresholding Correlations
Arkajyoti Saha, Daniela Witten & Jacob Bien
Published online: 20 May 2024
  • 261 Views
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Theory and Methods

Method
Extreme Value Statistics in Semi-Supervised Models
Hanan Ahmed, John H.J. Einmahl & Chen Zhou
Published online: 15 May 2024
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Open Access

Theory and Methods

Method
Generalized Bayesian Additive Regression Trees Models: Beyond Conditional Conjugacy
Antonio R. Linero
Published online: 14 May 2024
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Theory and Methods

Method
Sobolev Calibration of Imperfect Computer Models
Qingwen Zhang & Wenjia Wang
Published online: 13 May 2024
  • 268 Views
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Theory and Methods

Method
CARE: Large Precision Matrix Estimation for Compositional Data
Shucong Zhang, Huiyuan Wang & Wei Lin
Published online: 29 Apr 2024
  • 643 Views
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Theory and Methods

Method
Statistical Inference For Noisy Matrix Completion Incorporating Auxiliary Information
Shujie Ma, Po-Yao Niu, Yichong Zhang & Yinchu Zhu
Published online: 24 Apr 2024
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